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Title:Clustering and blockmodeling temporal networks - two indirect approaches
Authors:ID Batagelj, Vladimir (Author)
Files:.pdf PDF - Presentation file, download (461,70 KB)
MD5: 85248B36A6E2EF24013176A4A420BBE3
 
URL URL - Source URL, visit https://link.springer.com/chapter/10.1007/978-3-031-09034-9_8
 
Language:English
Typology:1.08 - Published Scientific Conference Contribution
Organization:Logo IMFM - Institute of Mathematics, Physics, and Mechanics
Abstract:Two approaches to clustering and blockmodeling of temporal networks are presented: the first is based on an adaptation of the clustering of symbolic data described by modal values and the second is based on clustering with relational constraints. Different options for describing a temporal block model are discussed.
Keywords:social networks, network analysis, blockmodeling, symbolic data analysis, clustering with relational constraints
Publication status:Published
Publication version:Version of Record
Year of publishing:2023
Number of pages:Str. 63-71
PID:20.500.12556/DiRROS-18628 New window
UDC:303
DOI:10.1007/978-3-031-09034-9_8 New window
COBISS.SI-ID:191666179 New window
Publication date in DiRROS:08.04.2024
Views:95
Downloads:47
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Record is a part of a monograph

Title:Classification and data science in the digital age
Editors:Paula Brito, José G. Dias, Berthold Lausen, Angela Montanari, Rebecca Nugent
Place of publishing:Cham
Publisher:Springer
ISBN:978-3-031-09033-2
COBISS.SI-ID:191657475 New window
Collection title:Studies in classification, data analysis, and knowledge organization
Collection ISSN:1431-8814

Document is financed by a project

Funder:ARRS - Slovenian Research Agency
Project number:P1-0294
Name:Računsko intenzivne metode v teoretičnem računalništvu, diskretni matematiki, kombinatorični optimizaciji ter numerični analizi in algebri z uporabo v naravoslovju in družboslovju

Funder:ARRS - Slovenian Research Agency
Project number:J1-9187
Name:Akcijski grafi in tehnike krovnih grafov

Funder:ARRS - Slovenian Research Agency
Project number:J1-2481
Name:Matematične in računske metode za samosestavljanje poliedrov

Funder:ARRS - Slovenian Research Agency
Project number:J5-2557
Name:Primerjava in evalvacija pristopov za bločno modeliranje časovnih omrežij s simulacijami in uporaba na slovenskih so-avtorskih omrežjih

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Abstract:Predstavljena sta dva pristopa k razvrščanju v skupine in bločnemu modeliranju časovnih omrežij: prvi temelji na prilagoditvi razvrščanja simbolnih podatkov, opisanih v imenskih lestvicah, drugi pa na razvrščanju z relacijsko omejitvijo. Obravnavane so tudi različne možnosti za opis časovnih bločnih modelov.
Keywords:analiza omrežij, bločno modeliranje, razvrščanje simbolnih podatkov, razvrščanje v skupine


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